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414 results on '"Liu, Xialin"'

1. Fast control of the transverse structure of a light beam using acousto-optic modulators

Author

Jabbari, Mahdieh Chartab, Li, Cheng, Liu, Xialin, Córdova-Castro, R. Margoth, Braverman, Boris, Upham, Jeremy, and Boyd, Robert W.

Subjects
Physics - Optics
Abstract

Fast, reprogrammable control over the transverse structure of light beams plays an essential role in applications such as structured illumination microscopy, optical trapping, and quantum information processing. Existing technologies, such as liquid crystal on silicon spatial light modulators (LCoS-SLMs) and digital micromirror devices (DMDs), suffer from limited refresh rates, low damage thresholds, and high insertion loss. Acousto-optic modulators (AOMs) can resolve the above issues, as they typically handle higher laser power and offer lower insertion loss. By effectively mapping the temporal radio-frequency (RF) waveforms onto the spatial diffraction patterns of the optical field, individual AOMs have been shown to generate one-dimensional (1D) spatial modes at a pixel refresh rate of nearly 20 MHz. We extend this concept to enable fast modulation in a two-dimensional (2D) space using a double-AOM scheme. We demonstrate the generation of 2D Hermite-Gaussian (HG_nm) modes with an average fidelity of 81%, while the highest-order mode generated, HG_53, retains a fidelity of 56%.

Published
2024

2. Velocity-based sparse photon clustering for space debris ranging by single-photon Lidar

Author

Liu, Xialin, Qiang, Jia, Huang, Genghua, Zhang, Liang, Zhao, Zheng, and Shu, Rong

Subjects
Physics - Data Analysis, Statistics and Probability, Physics - Optics
Abstract

Single-photon Lidar (SPL) offers unprecedented sensitivity and time resolution, which enables Satellite Laser Ranging (SLR) systems to identify space debris from distances spanning thousands of kilometers. However, existing SPL systems face limitations in distance-trajectory extraction due to the widespread and undifferentiated noise photons. In this paper, we propose a novel velocity-based sparse photon clustering algorithm, leveraging the velocity correlation of the target's echo signal photons in the distance-time dimension, by computing and searching the velocity and acceleration of photon distance points between adjacent pulses over a period of time and subsequently clustering photons with the same velocity and acceleration. Our algorithm can extract object trajectories from sparse photon data, even in low signal-to-noise ratio (SNR) conditions. To verify our method, we establish a ground simulation experimental setup for a single-photon ranging Lidar system. The experimental results show that our algorithm can extract the quadratic track with over 99 percent accuracy in only tens of milliseconds, with a signal photon counting rate of 5 percent at -20 dB SNR. Our method provides an effective approach for detecting and sensing extremely weak signals at the sub-photon level in space.

Published
2024

4. Using an acousto-optic modulator as a fast spatial light modulator

Author

Liu, Xialin, Braverman, Boris, and Boyd, Robert W.

Subjects
Physics - Optics
Abstract

High-speed spatial light modulators (SLM) are crucial components for free-space communication and structured illumination imaging. Current approaches for dynamical spatial mode generation, such as liquid crystal SLMs or digital micromirror devices, are limited to a maximum pattern refresh rate of 10 kHz and have a low damage threshold. We demonstrate that arbitrary spatial profiles in a laser pulse can be generated by mapping the temporal radio-frequency (RF) waveform sent to an acousto-optic modulator (AOM) onto the optical field. We find that the fidelity of the SLM performance can be improved through numerical optimization of the RF waveform to overcome the nonlinear effect of AOM. An AOM can thus be used as a 1-dimensional SLM, a technique we call acousto-optic spatial light modulator (AO-SLM), which has 50 um pixel pitch, over 1 MHz update rate, and high damage threshold. We simulate the application of AO-SLM to single-pixel imaging, which can reconstruct a 32x32 pixel complex object at a rate of 11.6 kHz with 98% fidelity., Comment: 14 pages, 14 figures

Published
2022
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7. VEGF-B prevents excessive angiogenesis by inhibiting FGF2/FGFR1 pathway

Author

Lee, Chunsik, Chen, Rongyuan, Sun, Guangli, Liu, Xialin, Lin, Xianchai, He, Chang, Xing, Liying, Liu, Lixian, Jensen, Lasse D., Kumar, Anil, Langer, Harald F., Ren, Xiangrong, Zhang, Jianing, Huang, Lijuan, Yin, Xiangke, Kim, JongKyong, Zhu, Juanhua, Huang, Guanqun, Li, Jiani, Lu, Weiwei, Chen, Wei, Liu, Juanxi, Hu, Jiaxin, Sun, Qihang, Lu, Weisi, Fang, Lekun, Wang, Shasha, Kuang, Haiqing, Zhang, Yihan, Tian, Geng, Mi, Jia, Kang, Bi-Ang, Narazaki, Masashi, Prodeus, Aaron, Schoonjans, Luc, Ornitz, David M., Gariepy, Jean, Eelen, Guy, Dewerchin, Mieke, Yang, Yunlong, Ou, Jing-Song, Mora, Antonio, Yao, Jin, Zhao, Chen, Liu, Yizhi, Carmeliet, Peter, Cao, Yihai, and Li, Xuri

Published
2023
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21. First-Photon Ghost Imaging

Author

Liu, Xialin, Shi, Jianhong, Chen, Huichao, and Zeng, Guihua

Subjects
Physics - Optics
Abstract

Conventional imaging at low light level requires hundreds of detected photons per pixel to suppress the Poisson noise for accurate reflectivity inference. In this letter, we propose a high-efficiency photon-limited imaging technique, called first-photon ghost imaging, which recovers image from the first-photon detection by exploiting the physics of low-flux measurements and the framework of ghost imaging. The experimental results demonstrated that it could retrieve an image by only 0.1 photon detection per pixel, which is three orders lower than the conventional imaging technique. The SNR model of the system has been established for noise analysing. Our technique is supposed to have applications in many fields, ranging from biological microscopy to remote sensing., Comment: 4 pages, 5 figures, 1 table

Published
2017

25. Lens regeneration using endogenous stem cells with gain of visual function

Author

Lin, Haotian, Ouyang, Hong, Zhu, Jie, Huang, Shan, Liu, Zhenzhen, Chen, Shuyi, Cao, Guiqun, Li, Gen, Signer, Robert AJ, Xu, Yanxin, Chung, Christopher, Zhang, Ying, Lin, Danni, Patel, Sherrina, Wu, Frances, Cai, Huimin, Hou, Jiayi, Wen, Cindy, Jafari, Maryam, Liu, Xialin, Luo, Lixia, Zhu, Jin, Qiu, Austin, Hou, Rui, Chen, Baoxin, Chen, Jiangna, Granet, David, Heichel, Christopher, Shang, Fu, Li, Xuri, Krawczyk, Michal, Skowronska-Krawczyk, Dorota, Wang, Yujuan, Shi, William, Chen, Daniel, Zhong, Zheng, Zhong, Sheng, Zhang, Liangfang, Chen, Shaochen, Morrison, Sean J, Maas, Richard L, Zhang, Kang, and Liu, Yizhi

Subjects
Medical Biotechnology, Biomedical and Clinical Sciences, Ophthalmology and Optometry, Eye Disease and Disorders of Vision, Stem Cell Research, Aging, Regenerative Medicine, Stem Cell Research - Nonembryonic - Human, Stem Cell Research - Nonembryonic - Non-Human, Eye, Animals, Cataract, Cataract Extraction, Epithelial Cells, Eye Proteins, Homeodomain Proteins, Homeostasis, Humans, Lens, Crystalline, Macaca, PAX6 Transcription Factor, Paired Box Transcription Factors, Polycomb Repressive Complex 1, Proto-Oncogene Proteins, Recovery of Function, Regeneration, Repressor Proteins, Stem Cells, Vision, Ocular, General Science & Technology
Abstract

The repair and regeneration of tissues using endogenous stem cells represents an ultimate goal in regenerative medicine. To our knowledge, human lens regeneration has not yet been demonstrated. Currently, the only treatment for cataracts, the leading cause of blindness worldwide, is to extract the cataractous lens and implant an artificial intraocular lens. However, this procedure poses notable risks of complications. Here we isolate lens epithelial stem/progenitor cells (LECs) in mammals and show that Pax6 and Bmi1 are required for LEC renewal. We design a surgical method of cataract removal that preserves endogenous LECs and achieves functional lens regeneration in rabbits and macaques, as well as in human infants with cataracts. Our method differs conceptually from current practice, as it preserves endogenous LECs and their natural environment maximally, and regenerates lenses with visual function. Our approach demonstrates a novel treatment strategy for cataracts and provides a new paradigm for tissue regeneration using endogenous stem cells.

Published
2016

27. Effective treatment of optic neuropathies by intraocular delivery of MSC-sEVs through augmenting the G-CSF-macrophage pathway

Author

Yi, Wei, primary, Xue, Ying, additional, Qing, Wenjie, additional, Cao, Yingxue, additional, Zhou, Lingli, additional, Xu, Mingming, additional, Sun, Zehui, additional, Li, Yuying, additional, Mai, Xiaomei, additional, Shi, Le, additional, He, Chang, additional, Zhang, Feng, additional, Duh, Elia J., additional, Cao, Yihai, additional, and Liu, Xialin, additional

Published
2024
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29. A Prediction-Based Multi-Objective VM Consolidation Approach for Cloud Data Centers.

Author

Liu, Xialin, Wu, Junsheng, Chen, Lijun, and Hu, Jiyuan

Subjects
VIRTUAL machine systems, MICROSOFT Azure, MOVING average process, GENETIC algorithms, QUALITY of service
Abstract

Virtual machine (VM) consolidation aims to run VMs on the least number of physical machines (PMs). The optimal consolidation significantly reduces energy consumption (EC), quality of service (QoS) in applications, and resource utilization. This paper proposes a prediction-based multi-objective VM consolidation approach to search for the best mapping between VMs and PMs with good timeliness and practical value. We use a hybrid model based on Auto-Regressive Integrated Moving Average (ARIMA) and Support Vector Regression (SVR) (HPAS) as a prediction model and consolidate VMs to PMs based on prediction results by HPAS, aiming at minimizing the total EC, performance degradation (PD), migration cost (MC) and resource wastage (RW) simultaneously. Experimental results using Microsoft Azure trace show the proposed approach has better prediction accuracy and overcomes the multi-objective consolidation approach without prediction (i.e. Non-dominated sorting genetic algorithm 2, Nsga2) and the renowned Overload Host Detection (OHD) approaches without prediction, such as Linear Regression (LR), Median Absolute Deviation (MAD) and Inter-Quartile Range (IQR). [ABSTRACT FROM AUTHOR]

Published
2024
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37. General requirements for the production of extracellular vesicles derived from human stem cells

Author

Wang, Ling, primary, Liu, Shiyu, additional, Li, Ka, additional, Ma, Aijin, additional, Hu, Chenghu, additional, Wang, Changlin, additional, Cao, Nan, additional, Zhao, Yunpeng, additional, Fu, Ruifeng, additional, Jia, Wenwen, additional, Xiang, Peng, additional, Liu, Houqi, additional, Qi, Zhongquan, additional, Zhu, Ningwen, additional, Liang, Lingmin, additional, Wang, Lei, additional, Cao, Jiani, additional, Zhai, Peijun, additional, Zhou, Jiaxi, additional, Wei, Jun, additional, Na, Tao, additional, Wu, Jun, additional, He, Zhiying, additional, Zhou, Guangdong, additional, Yu, Weifeng, additional, Wu, Jinyan, additional, Zeng, Wen, additional, Zhang, Yong, additional, Zhu, Lijun, additional, Fu, Boqiang, additional, Zhang, Jingzhong, additional, Yang, Shuwei, additional, Dai, Chengxiang, additional, Cui, Hengmi, additional, Jing, Jianzhong, additional, Yan, Hexin, additional, He, Xiaowen, additional, Lu, Yongbo, additional, Tong, Cailing, additional, Zhao, Tongbiao, additional, Hao, Jie, additional, Liu, Xialin, additional, Jin, Yan, additional, and Wang, Yue, additional

Published
2023
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40. Nonhuman Primate Eyes Display Variable Growth and Aging Rates in Alignment With Human Eyes

Author

Xue, Ying, primary, Cao, Yingxue, additional, Fan, Shuxin, additional, Xu, Mingming, additional, Yang, Ziqi, additional, Zhou, Lingli, additional, Shi, Le, additional, Ou, Lechun, additional, Li, Yuying, additional, Qing, Wenjie, additional, Zou, Zhicheng, additional, Mao, Fuxiang, additional, Wang, Ningli, additional, Duh, Elia J., additional, Yi, Wei, additional, and Liu, Xialin, additional

Published
2023
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45. Brief Announcement: On Implementing Wear Leveling in Persistent Synchronization Structures

Author

Jakeb Chouinard and Kush Kansara and Xialin Liu and Nihal Potdar and Wojciech Golab, Chouinard, Jakeb, Kansara, Kush, Liu, Xialin, Potdar, Nihal, Golab, Wojciech, Jakeb Chouinard and Kush Kansara and Xialin Liu and Nihal Potdar and Wojciech Golab, Chouinard, Jakeb, Kansara, Kush, Liu, Xialin, Potdar, Nihal, and Golab, Wojciech

Abstract

The last decade has witnessed an explosion of research on persistent memory, which combines the low access latency of dynamic random access memory (DRAM) with the durability of secondary storage. Intel’s implementation of persistent memory, called Optane, comes close to realizing the game-changing potential of persistent memory in terms of performance; however, it also suffers from limited endurance and relies on a proprietary wear leveling mechanism to mitigate memory cell wear-out. The traditional embedded approach to wear leveling, in which the storage device itself maps logical addresses to physical addresses, can be fast and energy-efficient, but it is also relatively inflexible and can lead to missed opportunities for optimization. An alternative school of thought, exemplified by "open channel" solid state drives (SSDs), delegates responsibility for wear leveling to software, where it can be tailored to specific applications. In this research, we consider a hypothetical hardware platform where the same paradigm is applied to the persistent memory device, and ask how the wear leveling mechanism can be co-designed with synchronization structures that generate highly skewed memory access patterns. Building on the recent work of Liu and Golab, we implement an improved wear leveling atomic counter by leveraging hardware transactional memory in a novel way. Our solution is close to optimal with respect to both space complexity and measured performance.

Published
2023
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46. Research on the Design of Disaster Prevention Plan for 22km Ultra-long Highway Tunnel with Multiple Intersections

Author

Zhang Xuan, Li Xuefeng, and Liu Xialin

Subjects
Environmental sciences, GE1-350
Abstract

The Tianshan Shengli Tunnel is currently the longest high-altitude highway tunnel. In order to ensure the safe operation of the tunnel, the SES software is used to investigate the wind speed laws in the tunnel, and the tunnel is divided into 16 disaster prevention sections based on the shaft and critical wind speed. The principles of disaster prevention and rescue of Tianshan Shengli Highway Tunnel are given, and the emergency treatment process of tunnel disaster prevention and rescue is given. The disaster prevention and rescue plan of Tianshan Shengli Tunnel from fire occurrence, personnel and vehicle evacuation, and fire treatment are discussed in detail.

Published
2021
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